Decode vs Recollective
Recollective captures qualitative stories. Decode reveals emotion, attention, and intent behind every response.
Overview
Recollective is designed for online communities, asynchronous qualitative tasks, and long-term participant engagement.
Decode is built for integrated quant + qual + behavioural research, powered by Emotion AI, Attention AI, and Voice AI to decode what people say, feel, and do.
Where Recollective explores stories, Decode uncovers the signals behind those stories.
What sets Decode apart
Recollective delivers strong qualitative depth, but it stops at what people express.
Decode goes further by measuring what people feel, notice, and intend.
Decode adds behavioural intelligence layers Recollective cannot:
• Facial emotion analytics
• Eye gaze and attention tracking
• Voice tone and sentiment analysis
• Predictive recall, resonance, and purchase intent scoring
• A unified repository that scales insight across teams
Decode turns qualitative feedback into measurable emotional truth.
Quick comparison
Decode | Recollective | |
|---|---|---|
Platform type | Multimodal insights platform | Qualitative + community tool |
Core strength | Emotion, attention, and predictive depth | Strong long-term storytelling |
Research modes | Quant + qual + behavioural | Qual only |
AI capabilities | Emotion, voice, attention, predictive | Text summarisation + sentiment |
Ideal for | Emotion-validated, predictive insights | Exploratory conversations, communities |
Research approach
Decode
A fully unified approach across:
• Surveys
• Video + interviews
• Facial emotion signals
• Eye gaze and attention paths
• Voice sentiment and tone
• Predictive behavioural modelling
Recollective
Asynchronous and community-led qualitative insights:
• Discussion boards
• Journals and diaries
• Image/video assignments
• Live interviews
• Participant segmentation and engagement tracking
Deep for exploration. Limited for validation.
Feature-by-feature comparison
Research modes
Capability | Decode | Recollective |
|---|---|---|
Quant research | Yes | No |
Qual research | Yes | Yes |
Behavioural analytics | Yes | No |
Insight communities | Yes | Yes |
Emotion, Attention, and Voice AI
Signal Type | Decode | Recollective |
|---|---|---|
Facial emotion | Yes | No |
Eye gaze + attention | Yes | No |
Voice sentiment | Yes | No |
Multimodal behavioural depth | Yes | No |
AI automation and analysis
AI Functionality | Decode | Recollective |
|---|---|---|
AI summaries | Yes | Yes (text only) |
AI tagging + clustering | Yes | Partial |
Multimodal AI | Yes | No |
Predictive scoring | Yes | No |
Repository and insight memory
Repository Capability | Decode | Recollective |
|---|---|---|
Unified repository | Yes | Community-level only |
Searchable insight memory | Yes | Limited |
Behavioural data history | Yes | No |
Enterprise scale | Yes | Moderate |
Where Decode leads
Recollective Limitation | Decode Advantage |
|---|---|
Qual-only, no quant | Unified quant + qual + behaviour |
No emotion or attention metrics | Facial emotion + gaze tracking |
No voice sentiment | Tone + hesitation + sentiment analysis |
Limited AI depth | Full multimodal AI across text, video, voice, behaviour |
No predictive modelling | Predicts recall, resonance, intent |
Repository limited to communities | Enterprise-wide insight memory |
Decode transforms qualitative data into behavioural evidence teams can act on.
Ideal use cases
Decode
• Creative, product, and experience validation
• Emotion-validated decision testing
• Predictive, multimethod research at scale
• Behavioural insight across ads, concepts, journeys, packaging
Recollective
• Community-based qualitative learning
• Brand or concept exploration
• Asynchronous storytelling tasks
• Long-term participant engagement
Example impact
A CPG brand used Decode to test creative concepts across markets.
Emotion AI, Attention AI, and Voice AI revealed which visuals produced stronger emotional engagement.
The result: 40% higher recall accuracy before launch.
Decode helps teams choose the creative that wins, not the one that simply performs “okay”.
Closing
Recollective helps brands gather stories and perspectives.
Decode reveals the emotional and attentional signals beneath those stories, offering a deeper, more predictive understanding of consumer behaviour.
Emotion. Attention. Behaviour. Prediction.
Decode brings all human signals into one platform.